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-rw-r--r--runtimes/neurun/src/kernel/cpu/AvgPoolLayer.h78
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diff --git a/runtimes/neurun/src/kernel/cpu/AvgPoolLayer.h b/runtimes/neurun/src/kernel/cpu/AvgPoolLayer.h
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--- a/runtimes/neurun/src/kernel/cpu/AvgPoolLayer.h
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@@ -1,78 +0,0 @@
-/*
- * Copyright (c) 2018 Samsung Electronics Co., Ltd. All Rights Reserved
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- * http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-#ifndef __NEURUN_KERNEL_CPU_AVGPOOLLAYER_H__
-#define __NEURUN_KERNEL_CPU_AVGPOOLLAYER_H__
-
-#include <NeuralNetworks.h>
-
-#include "exec/interface/IFunction.h"
-
-#include "kernel/cpu/OperationUtils.h"
-
-namespace neurun
-{
-namespace kernel
-{
-namespace cpu
-{
-
-class AvgPoolLayer : public ::neurun::exec::IFunction
-{
-public:
- AvgPoolLayer();
-
-public:
- bool averagePoolFloat32();
-
- bool averagePoolQuant8();
-
- void configure(uint8_t *inputData, const Shape inputShape, const uint32_t paddingLeft,
- const uint32_t paddingRight, const uint32_t paddingTop,
- const uint32_t paddingBottom, const uint32_t strideWidth,
- const uint32_t strideHeight, const uint32_t kernelWidth,
- const uint32_t kernelHeight, const FuseCode activation, uint8_t *outputData,
- const Shape outputShape);
-
- void run();
-
-private:
- uint8_t *_inputData;
- uint8_t *_outputData;
-
- Shape _inputShape;
- Shape _outputShape;
-
- uint32_t _paddingLeft;
- uint32_t _paddingTop;
- uint32_t _paddingRight;
- uint32_t _paddingBottom;
-
- uint32_t _strideWidth;
- uint32_t _strideHeight;
- uint32_t _kernelWidth;
- uint32_t _kernelHeight;
-
- FuseCode _activation;
-
- OperandType _inputType;
-};
-
-} // namespace cpu
-} // namespace kernel
-} // namespace neurun
-
-#endif // __NEURUN_KERNEL_CPU_AVGPOOLLAYER_H__